首页|Researchers at Fudan University Report New Data on Machine Learning (From Optima l Observables To Machine Learning: an Effective-field-theory Analysis of E+e–> W+w- At Future Lepton Colliders)
Researchers at Fudan University Report New Data on Machine Learning (From Optima l Observables To Machine Learning: an Effective-field-theory Analysis of E+e–> W+w- At Future Lepton Colliders)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Data detailed on Machine Learning have been presented. According to news reporting originating in Shanghai, People’s R epublic of China, by NewsRx journalists, research stated, “We apply machine-lear ning techniques to the effective-field-theory analysis of the e(+)e(-) -> W+W- processes at future lepton colliders, and demonstrate their advantages in comparison with conventional methods, such as optimal observables.” Funders for this research include National Natural Science Foundation of China ( NSFC), United States Department of Energy (DOE).
ShanghaiPeople's Republic of ChinaAs iaCyborgsEmerging TechnologiesMachine LearningFudan University
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